Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage. You can get the data back out using the command-line interface or a notebook.

Features

  • Automatically track code, hyperparameters, training data, weights, metrics, Python dependencies — everything
  • Get back the code and weights from any checkpoint if you need to replicate your results or commit to Git after the fact
  • Model weights are stored on your own Amazon S3 or Google Cloud bucket, so it's really easy to feed them into production systems
  • Documentation available
  • Examples available
  • Track experiments
  • Go back in time
  • Version your models

Project Samples

Project Activity

See All Activity >

Categories

Machine Learning

License

Apache License V2.0

Follow Keepsake

Keepsake Web Site

You Might Also Like
Build Securely on Azure with Proven Frameworks Icon
Build Securely on Azure with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Keepsake!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-08-15